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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20160427T131918Z
DTSTART:20160504T150000Z
DTEND:20160504T163000Z
SUMMARY:Mitchell Centre Seminar Series
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}a18q-ik8kee
 zs-th1ndo
DESCRIPTION:Filip Agneessens\, University of Surrey\nCentrality measure(s
 ): local and global versions of walks\, trails and paths.\nMeasures of i
 ndividual centrality for an actor (i) in a network are often obtained by
  aggregating the connections between the focal actor (i) and all its dir
 ect and indirect connections to others (k) in this network. The level to
  which there is a connection between an actor (i) and others (k) will be
  dependent on the choice of trajectories that are allowed\, i.e. the way
  resources from actor (i) can flow through the network in order to reach
  these others (k). Borgatti (2005) has focused on four such types of tra
 jectories: walks\, trails\, paths and geodesics. Trails are specific typ
 es of walks were the same edge cannot be passed multiple times in a spec
 ific trajectory\, whereas paths are specific types of trails where the s
 ame nodes cannot be passed multiple times in a specific trajectory. \nHo
 wever\, such restrictions do not have to be binary (i.e. the same edge o
 r node can or cannot be passed)\, but instead can be probabilistic (i.e.
  it is less or more likely that the same edge or node is passed). Moreov
 er these restrictions might be more or less relevant when the edge or no
 de is revisited after a short versus long number of intermediary steps (
 resulting in more local versus more global restrictions).  Implications 
 for developing centrality measures is discussed.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:G6\, Humanities Bridgeford Street\, Manchester
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